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Big Data is the ever-growing amount of structured and unstructured data sets that organizations capture and analyze in order to gain insight, make decisions, and achieve their long-term strategic objectives. A Big Data Developer is arguably one of the most important roles in an organization's data team. These developers have the necessary skills and knowledge to draw insights from large or complex datasets, scale and optimize large datasets manipulations, to automate some of a client's processes, build algorithms for data processing tasks, maintain large databases, work with distributed computing tools for big data initiatives, synch with cloud services and on-site infrastructures and many more. In summation, a Big Data Developer can be critical to helping the organization use the collected data in a meaningful way.
Here’s some projects that our expert Big Data Developer made real:
- Utilized complex algorithms such as KMeans/BisectionKMeans to find anomalies in large datasets.
- Built custom infrastructure solutions that employ massive databases leveraging distributed computing.
- Developed pipelines and dashboards to better visualize data using Tableau/Hadoop/Pyspark/SQL.
- Implemented solutions for continuous logging tasks with Python, managing streaming data inputs into the thousands per second.
- Structured AI techniques with deep learning to detect objects (road edges) from aerial images.
- Optimization measures to reduce storage space requirements, like replacing JSON/CSV formats with Parquet format.
- Applied predictive analytics to forecast outcomes such as credit card defaults and design strategies for database/data warehouse capabilities.
What all these projects have in common is the utilization of Big Data technologies and approaches to develop solutions towards our client's goals. By harnessing the power of Big Data technologies and deploying best practices in data science processes, we help our clients identify opportunities and unlock latent insights in many different ways; this translates into innovative solutions and opportunities that were otherwise unavailable before!
We invite you to take your organization to the next level by hiring one of our elite Big Data Developers on Freelancer.com! Together we can explore fresh possibilities and get you bigger returns on your investments as you enter into a new digital era of analytics.
A partir das avaliações de 10,119, os clientes avaliam nosso Big Data Developers 4.82 de 5 estrelas.Contratar Big Data Developers
Project Description: We are looking for a skilled Java developer with experience in Apache Flink (version 1.19) to create a data processing job that reads from parquet files located on a Network File System (NFS) and sends selected data to a Kafka topic. Core Responsibilities: - Develop a Flink job using Java that can read parquet files from NFS. - Implement functionality to allow the selection of specific columns from the parquet files to be processed. - Ensure the selected data is published to a specified Kafka topic efficiently. - Manage dependencies and libraries required to execute the job without compatibility issues.
I am in need of a Python professional who excels in data analysis. The role will involve managing both stream and batch processing in Databricks, and is geared towards creating a robust data pipeline. Additionally, the project requires testing for the purpose of ensuring data accuracy. - Python Data Analysis: You will employ Python to analyze complex data effectively. - Databricks: You should be comfortable with both stream and batch processing. - Testing: You are expected to run tests to ensure data accuracy. Ideal candidates will have a proven track record working with Python, Databricks, and data testing, particularly in guaranteeing data accuracy.
I'm in search of a proficient developer to create an advanced algorithm targeted at preparing technical offers for international tenders, specifically within the industries of medical, laboratory, and training equipment. Key Requirements: - The algorithm should consider equipment specifications and cost estimates as key parameters. - It should be capable of gathering datasheets, and comparing them with tender requirements. - Expertise in AI/ML is a must, as the algorithm should use these technologies for comparing datasheets with tender requirements. Ideal candidates will have experience developing algorithms, a strong understanding of AI/ML technologies and familiarity with international tendering processes within the equipment domains specified. A background in medical, laborator...
**Project Scope** Seeking skilled Data Analyst specializing in PUBG Mobile to elevate our team's performance using data insights. Project goals: * Performance Baseline: Deep understanding of our team's key metrics (individual players & team stats). * Competitive Benchmarking: Analyze opponents to uncover strengths, weaknesses, strategic tendencies. * Optimal Rotation Analysis: Decipher winning map rotation patterns from videos. Find areas we can improve. * Data-Driven Recommendations: Provide clear report on insights and suggest changes to team composition, drop spots, in-game decisions. **Project Deliverables** * Structured dataset in Google BigQuery with our team's gameplay stats + relevant opponent data. * SQL queries designed for meaningful performance insights. ...
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